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High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment
Despite long-term treatment for nontuberculous mycobacterial pulmonary disease (NTM-PD), recurrence is common. We aim to identify computed tomography (CT) findings that predict recurrence after successful treatment of NTM-PD. This retrospective study included 44 patients (12 men, 60 ± 11.2 years) su...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825014/ https://www.ncbi.nlm.nih.gov/pubmed/33418942 http://dx.doi.org/10.3390/jcm10020172 |
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author | Choi, Hyewon Cha, Min Jae Kim, Yang Soo Choi, Jae Chol |
author_facet | Choi, Hyewon Cha, Min Jae Kim, Yang Soo Choi, Jae Chol |
author_sort | Choi, Hyewon |
collection | PubMed |
description | Despite long-term treatment for nontuberculous mycobacterial pulmonary disease (NTM-PD), recurrence is common. We aim to identify computed tomography (CT) findings that predict recurrence after successful treatment of NTM-PD. This retrospective study included 44 patients (12 men, 60 ± 11.2 years) successfully treated for NTM-PD between March 2009 and September 2016. Recurrence developed in 18 patients (40.9%) during follow-up (median, 852 days). CT scores for bronchiectasis, bronchiolitis, consolidation, cavities, and nodules at the initiation and termination of treatment were evaluated, then determined association with recurrence. We also assessed the diagnostic performance and reproducibility of CT scores. Patients with recurrent NTM-PD showed higher CT scores for bronchiectasis (p = 0.008), nodules (p = 0.006), consolidation (p = 0.033), and total CT scores (p = 0.017) at the time of treatment termination. On the contrary, only nodule score differed among the initial CT scores (p = 0.014). Regression analysis showed that the scores for bronchiectasis (odds ratio (OR) = 1.638, 95% confidence interval (CI) = 1.049–2.558, p = 0.030) and nodules (OR = 5.246, 95% CI = 1.370–20.087, p = 0.016) at treatment termination were significant predictors. The AUC of the regression model was 0.814 (95% CI = 0.689–0.939, p = 0.005). The interreader agreement for the total CT score was excellent (intraclass correlation coefficient = 0.841, p < 0.001). CT scores at the time of treatment termination can predict disease recurrence with good reproducibility. |
format | Online Article Text |
id | pubmed-7825014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78250142021-01-24 High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment Choi, Hyewon Cha, Min Jae Kim, Yang Soo Choi, Jae Chol J Clin Med Article Despite long-term treatment for nontuberculous mycobacterial pulmonary disease (NTM-PD), recurrence is common. We aim to identify computed tomography (CT) findings that predict recurrence after successful treatment of NTM-PD. This retrospective study included 44 patients (12 men, 60 ± 11.2 years) successfully treated for NTM-PD between March 2009 and September 2016. Recurrence developed in 18 patients (40.9%) during follow-up (median, 852 days). CT scores for bronchiectasis, bronchiolitis, consolidation, cavities, and nodules at the initiation and termination of treatment were evaluated, then determined association with recurrence. We also assessed the diagnostic performance and reproducibility of CT scores. Patients with recurrent NTM-PD showed higher CT scores for bronchiectasis (p = 0.008), nodules (p = 0.006), consolidation (p = 0.033), and total CT scores (p = 0.017) at the time of treatment termination. On the contrary, only nodule score differed among the initial CT scores (p = 0.014). Regression analysis showed that the scores for bronchiectasis (odds ratio (OR) = 1.638, 95% confidence interval (CI) = 1.049–2.558, p = 0.030) and nodules (OR = 5.246, 95% CI = 1.370–20.087, p = 0.016) at treatment termination were significant predictors. The AUC of the regression model was 0.814 (95% CI = 0.689–0.939, p = 0.005). The interreader agreement for the total CT score was excellent (intraclass correlation coefficient = 0.841, p < 0.001). CT scores at the time of treatment termination can predict disease recurrence with good reproducibility. MDPI 2021-01-06 /pmc/articles/PMC7825014/ /pubmed/33418942 http://dx.doi.org/10.3390/jcm10020172 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Choi, Hyewon Cha, Min Jae Kim, Yang Soo Choi, Jae Chol High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment |
title | High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment |
title_full | High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment |
title_fullStr | High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment |
title_full_unstemmed | High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment |
title_short | High-Resolution CT Findings as Predictive Factors for Recurrent Nontuberculous Mycobacterial Pulmonary Disease after Successful Treatment |
title_sort | high-resolution ct findings as predictive factors for recurrent nontuberculous mycobacterial pulmonary disease after successful treatment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825014/ https://www.ncbi.nlm.nih.gov/pubmed/33418942 http://dx.doi.org/10.3390/jcm10020172 |
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